SQL Injection via Mass Assignment in Patient Portal API

OpenEMR before 8.4.0 contains a mass assignment vulnerability in the patient portal OnsiteDocument query API that lets request parameters set bitwise criteria filters whose values are placed unquoted into the SQL WHERE clause. Authenticated patient portal users can inject SQL via parameters such as Id_BitwiseAnd to read any database table, including other patients' records and staff password hashes.

Casky was already ahead

This CVE exploits attack patterns that Casky's 323matched skills already investigate — long before this vulnerability was disclosed. Claude's reasoning model maps these techniques to MITRE ATT&CK, so practitioners who ran these skills have already seen the threat behaviour in their findings.

Analysis

OpenEMR's patient portal OnsiteDocument query API contains a critical mass assignment vulnerability (CWE-89: SQL Injection) that allows authenticated users to inject arbitrary SQL through bitwise filter parameters like Id_BitwiseAnd. These parameter values are concatenated directly into SQL WHERE clauses without proper escaping or parameterization. Any authenticated patient portal user can exploit this to read unauthorized database tables, extract other patients' protected health information (PHI), and retrieve staff credential hashes—creating serious privacy violations and credential compromise risks. Healthcare organizations running OpenEMR versions before 8.4.0 are directly affected, potentially impacting patient confidentiality and staff account security.

Casky's 323 mapped security skills detect the attack patterns underlying this vulnerability by correlating MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0043 (Reconnaissance) with SQL injection signatures. Practitioners using Casky would identify suspicious API requests containing unusual parameter structures (Id_BitwiseAnd with SQL operators), unauthorized database query attempts crossing patient boundaries, and anomalous access to sensitive tables like staff credentials or other patients' records. Claude's extended reasoning analyzes request parameter chains, detects unquoted SQL fragments, and maps lateral movement attempts to retrieve cross-patient data—surfacing these as high-fidelity indicators of active exploitation before data exfiltration occurs.

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Casky Risk Score

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EPSS Probability

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Shodan Exposure

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GreyNoise Signal

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Composite risk scoring from EPSS, CISA KEV, Shodan, and GreyNoise — 21 security APIs correlated into a single Casky Risk Score. Coming in Casky Pro. Join early access →

323 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-124444.

Abuse of Public-Facing API: Mobile API Abuse

mobile security · low

Run

abusing-dpapi-for-credential-access

red teaming · high

Run

abusing-shadow-credentials-for-privesc

red teaming · high

Run

MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2026-124444

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